Ai For Game Developers

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Ai For Game Developers

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Author : David M. Bourg
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2004

Ai For Game Developers written by David M. Bourg and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.

From the author of "Physics for Game Developers," comes a new, non-threatening introduction to the complex subject of game programming.

Ai Game Development

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Author : Alex J. Champandard
language : en
Publisher: New Riders
Release Date : 2003

Ai Game Development written by Alex J. Champandard and has been published by New Riders this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.

With game players expecting greater intelligence, efficiency, and realism with non-player characters, AI plays an ever-increasing important role in game development. This is a tremendous challenge for game developers in methodology, software design, and programming. Creating autonomous synthetic creatures that can adapt in games requires a different kind of understanding of AI than the classical approach used by current game programmers. The Nouvelle Game AI approach presented in this book focuses on creating embodied "animats" that behave in an intelligent and realistic manner. In particular, learning AI is generating much interest among the game development community, as these modern techniques can be used to optimize the development process. Book jacket.

Programming Game Ai By Example

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Author : Mat Buckland
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2005

Programming Game Ai By Example written by Mat Buckland and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.

This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI.

Ai For Games

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Author : Ian Millington
language : en
Publisher:
Release Date : 2021-10

Ai For Games written by Ian Millington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10 with Artificial intelligence categories.

Game development lives in its own technical world. It has its own idioms, skills, and challenges. That's one of the reasons games are so much fun to work on. AI for Games is designed to help you understand one element of game development: artificial intelligence (AI).

Artificial Intelligence And Games

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Author : Georgios N. Yannakakis
language : en
Publisher: Springer
Release Date : 2018-02-17

Artificial Intelligence And Games written by Georgios N. Yannakakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-17 with Computers categories.

This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.

Artificial Intelligence For Games

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Author : Ian Millington
language : en
Publisher: CRC Press
Release Date : 2018-12-14

Artificial Intelligence For Games written by Ian Millington and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Computers categories.

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). Key Features * The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience. * Walks through the entire development process from beginning to end. * Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Playing Smart

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Author : Julian Togelius
language : en
Publisher: MIT Press
Release Date : 2019-01-15

Playing Smart written by Julian Togelius and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-15 with Games & Activities categories.

THE FUTURE OF GAME DESIGN IN THE AGE OF AI: Can games measure intelligence? And how will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM’s Deep Blue and DeepMind’s AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.

Ai For Games Third Edition

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Author : Ian Millington
language : en
Publisher: CRC Press
Release Date : 2019-03-18

Ai For Games Third Edition written by Ian Millington and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-18 with Art categories.

AI is an integral part of every video game. This book helps professionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date information they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data structures and representations needed to create powerful AI in games. Key Features A comprehensive professional tutorial and reference to implement true AI in games Includes new exercises so readers can test their comprehension and understanding of the concepts and practices presented Revised and updated to cover new techniques and advances in AI Walks the reader through the entire game AI development process

Practical Game Ai Programming

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Author : Micael DaGraça
language : en
Publisher:
Release Date : 2017

Practical Game Ai Programming written by Micael DaGraça and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.

Jump into the world of Game AI developmentAbout This Book* Move beyond using libraries to create smart game AI, and create your own AI projects from scratch* Implement the latest algorithms for AI development and in-game interaction* Customize your existing game AI and make it better and more efficient to improve your overall game performanceWho This Book Is ForThis book is for game developers with a basic knowledge of game development techniques and some basic programming techniques in C# or C++.What You Will Learn* Get to know the basics of how to create different AI for different type of games* Know what to do when something interferes with the AI choices and how the AI should behave if that happens* Plan the interaction between the AI character and the environment using Smart Zones or Triggering Events* Use animations correctly, blending one animation into another and rather than stopping one animation and starting another* Calculate the best options for the AI to move using Pruning Strategies, Wall Distances, Map Preprocess Implementation, and Forced Neighbours* Create Theta algorithms to the AI to find short and realistic looking paths* Add many characters into the same scene and make them behave like a realistic crowdIn DetailThe book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you'll learn how AI characters should behave within the environment created.Moving on, you'll explore how to work with animations. You'll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you'll learn how the AI should behave when there is a lot of characters in the same scene.You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You'll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI.Style and approachThe book has a step-by-step tutorial style approach. The algorithms are explained by implementing them in #.